Главная
Study mode:
on
1
Introduction
2
What are Neuromorphic Technologies
3
Dynamic Vision Sensors
4
Memory Computing
5
Technical Details
6
Inmemory Computing
7
Event Based Binary Image
8
Spatial Sparsity
9
Connected Component Labelling
10
Histogram Based Region
11
Transistors
12
Demonstration
13
Hybrid RAM
14
Energy Efficiency
15
Conclusion
16
Sponsors
Description:
Explore a keynote address from tinyML Asia 2022 focusing on innovative approaches for Internet of Video Things (IoVT) applications. Delve into the potential of in-memory computing and dynamic vision sensors to overcome bandwidth and energy limitations in IoT vision sensors. Learn about event-driven dynamic vision sensors and their applications in unattended ground sensors and intelligent transportation systems. Discover how in-memory computing techniques can be utilized to perform basic image processing operations and trigger deep neural networks, further reducing energy consumption in sensor nodes. Gain insights into the novel concept of hybrid in-memory computing, combining multiple types of memory for enhanced efficiency. Throughout the talk, examine technical details, demonstrations, and discussions on energy efficiency in the context of neuromorphic technologies and their impact on IoVT scalability.

In-memory Computing and Dynamic Vision Sensors for Internet of Video Things

tinyML
Add to list
00:00
-01:35